MCP-SQL is a database management tool for AI assistants that provides a bridge to SQL databases (MSSQL, MySQL, PostgreSQL) through a domain-driven design architecture. Developed by donggyunryu, it enables executing queries, exploring database schemas, monitoring performance metrics, and generating reports through standardized tools. The implementation includes features like connection pooling, query optimization, performance alerting, and transaction management, making it valuable for data analysis, database administration, and application development workflows that require direct database interaction through natural language commands.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.